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Learning path

Vector Stores

Skill Level
Intermediate
Duration 2 hours 50 minutes
Updated Jun 4, 2026

About this learning path

This learning path covers vector search from concept to practice. Articles explain vectors, embeddings, similarity metrics, and vector store software — including how to choose the right database and index type. The hands-on lab then stress-tests embedding models, compares distance metrics, evaluates models of different sizes, and builds a framework for tuning chunking and measuring retrieval quality.

Your instructors

Sam BurckWorld Wide TechnologySr Data Scientist

Prerequisites

  1. Python
  2. A basic understanding of retrieval in RAG and AI Systems.

What you'll learn

  1. How text is represented numerically in vector-based retrieval strategies
  2. How text embeddings fail to capture certain elements around what the text actually means
  3. How to test and tune your retrieval systems so they perform at their best
  4. An overview of the most popular software solutions for vector storage and retrieval
ATC+
Learning path
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Vector Stores